Senior Data Software Engineer

**About the Role** We're looking for a **Senior Data Engineer** who thrives on solving complex data challenges and architecting scalable, reliable systems. You'll play a critical role in designing, building, and evolving Uber's Safety \& Insurance data ecosystem\-enabling the next generation of safety, risk, and compliance products. As a senior member of the team, you will lead end\-to\-end data initiatives\-from conceptual design through production deployment\-while mentoring other engineers and influencing technical direction across multiple domains. This role demands strong technical depth, a passion for data excellence, and the ability to partner effectively with cross\-functional stakeholders across product, analytics, and platform engineering. **What the Candidate Will Do** * **Design, build, and maintain** scalable data pipelines for batch and streaming data across Safety \& Insurance domains. * **Architect data models** and storage solutions optimized for analytics, machine learning, and product integration. * **Partner cross\-functionally** with Safety, Insurance, and Platform teams to deliver high\-impact, data\-driven initiatives. * **Ensure data quality** through validation, observability, and alerting mechanisms. * **Evolve data architecture** to support new business capabilities, products, and feature pipelines. * **Enable data science workflows** by creating reliable feature stores and model\-ready datasets. * **Drive technical excellence**, code quality, and performance optimization across the data stack. * **Mentor and guide** engineers in data engineering best practices, design patterns, and scalable architecture principles. **Basic Qualifications** * **Bachelor's or Master's degree** in Computer Science, Engineering, or a related technical field\-or equivalent practical experience. * **7\+ years** of professional experience in Data Engineering, Data Architecture, or related software engineering roles. * Proven experience designing and implementing **scalable data pipelines** (batch and streaming) that support mission\-critical applications. * **Advanced SQL expertise.** * Hands\-on experience with **big data ecosystems.** * Strong **Python** programming skills and solid understanding of object\-oriented design principles. * Experience with **large\-scale distributed storage** and databases. * Deep understanding of **data warehousing and dimensional modeling.** * Experience on **cloud platforms** such as **GCP, AWS, or Azure**. * Familiarity with **Airflow**, **dbt**, or other orchestration frameworks. * Exposure to **BI and analytics tools** (e.g., Tableau, Looker, or Superset). **Preferred Qualifications** * Expertise in **distributed SQL engines** and deep understanding of **query optimization**. * Hands\-on experience building **streaming and near\-real\-time pipelines** using Kafka, Flink, or Spark Structured Streaming. * Knowledge of **OLAP systems** such as Apache Pinot or Druid for real\-time analytics. * Experience developing **data quality frameworks**, monitoring, and automated validation. * Proficiency in **cloud\-native data solutions** (e.g., BigQuery, Redshift, Snowflake). * Working knowledge of **Scala** or **Java** in distributed computing contexts. * Demonstrated ability to mentor junior engineers and establish best practices for data infrastructure.